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                    <h1 class="display-4 mb-4" data-aos="fade-up">成功案例</h1>
                    <p class="lead" data-aos="fade-up" data-aos-delay="100">探索我们如何帮助客户实现业务增长</p>
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            <!-- Case 1: Hotel Pricing -->
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                        <img src="images/hotel-case.jpg" alt="Hotel Pricing Case" class="img-fluid rounded shadow">
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                        <h2 class="mb-4">酒店价格智能预测</h2>
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                            <h4>客户挑战</h4>
                            <p>酒店希望根据市场动态和竞争对手情况，提前预测并调整未来房价，以实现收益最大化。</p>
                            
                            <h4>AI 解决方案</h4>
                            <p>收集并整合大量竞争对手房价数据，训练了一个多层感知机 (MLP) AI 模型，用于精准预测未来价格趋势。</p>
                            
                            <h4>项目成果</h4>
                            <ul class="list-unstyled">
                                <li><i class="fas fa-check text-primary me-2"></i>实现基于数据的动态定价</li>
                                <li><i class="fas fa-check text-primary me-2"></i>提高决策准确性和前瞻性</li>
                                <li><i class="fas fa-check text-primary me-2"></i>优化收益管理策略</li>
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                        <h2 class="mb-4">律所法律信息自动汇总</h2>
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                            <h4>客户挑战</h4>
                            <p>律所每月需投入大量专业人力（14人一周）从公众号搜集、整理最新法律条文制作月报，成本高昂且效率低下。</p>
                            
                            <h4>AI 解决方案</h4>
                            <p>开发了一套自动化数据收集与处理系统。通过自然语言输入关注点，利用大模型解析并从上百个公众号文章中抓取相关内容，再通过 AI 进行智能整理、汇总，10 分钟内生成月报初稿。</p>
                            
                            <h4>项目成果</h4>
                            <ul class="list-unstyled">
                                <li><i class="fas fa-check text-primary me-2"></i>将原需约 560 人/小时的工作量缩减至 10 分钟</li>
                                <li><i class="fas fa-check text-primary me-2"></i>极大解放专业律师时间</li>
                                <li><i class="fas fa-check text-primary me-2"></i>显著提升工作效率</li>
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            <!-- Case 3: Crypto Trading -->
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                        <img src="images/crypto-case.jpg" alt="Crypto Trading Case" class="img-fluid rounded shadow">
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                        <h2 class="mb-4">加密货币量化交易趋势线自动化</h2>
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                            <h4>客户挑战</h4>
                            <p>量化交易团队依赖人工绘制趋势线进行判断，耗时且主观性强。</p>
                            
                            <h4>AI 解决方案</h4>
                            <p>利用线性回归算法，开发了一套自动化趋势线判断工具，能够适配 90% 以上的交易场景。</p>
                            
                            <h4>项目成果</h4>
                            <ul class="list-unstyled">
                                <li><i class="fas fa-check text-primary me-2"></i>大幅节省团队在图表分析上的人工时间</li>
                                <li><i class="fas fa-check text-primary me-2"></i>提高趋势判断的一致性</li>
                                <li><i class="fas fa-check text-primary me-2"></i>提升分析效率</li>
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            <!-- Case 4: Project Information -->
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                        <img src="images/project-case.jpg" alt="Project Information Case" class="img-fluid rounded shadow">
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                        <h2 class="mb-4">量化公司早期项目信息自动化整理</h2>
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                            <h4>客户挑战</h4>
                            <p>量化公司需 2-3 人实时监控 Twitter 等社交媒体上 KOL/大 V 关于早期加密项目的言论，手动发现新词汇并解读，工作重复枯燥，年人力成本约 30 万元。</p>
                            
                            <h4>AI 解决方案</h4>
                            <p>设计并实施了一套自动化方案，自动监控信息源、提取关键信号、发现新词汇并进行初步整理分析，形成趋势雷达。</p>
                            
                            <h4>项目成果</h4>
                            <ul class="list-unstyled">
                                <li><i class="fas fa-check text-primary me-2"></i>完全替代原来的人工监控与整理工作</li>
                                <li><i class="fas fa-check text-primary me-2"></i>每年为公司节省约 30 万元成本</li>
                                <li><i class="fas fa-check text-primary me-2"></i>提高信息获取的速度和覆盖面</li>
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